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Tracehunt

@Hayatelin

关于 Tracehunt

TraceHunt is an MCP server (and CLI) for OSINT username reconnaissance across 480+ platforms. Tools: hunt_username() returns where a handle exists, and footprint_score() returns a 0-100 digital-footprint score. Python, MIT, runs locally, no API keys, privacy-first.

基本信息

分类

开发工具

传输方式

stdio

发布者

Hayatelin

提交者

C.Y. Lin

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "tracehunt": {
      "command": "python",
      "args": [
        "mcp/tracehunt_mcp.py"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Tracehunt?

Tracehunt is an MCP server (and CLI) for OSINT username reconnaissance across 480+ platforms. It provides two tools: hunt_username() to find where a handle exists, and footprint_score() to return a 0–100 digital-footprint score. It is written in Python, runs locally, requires no API keys, and is privacy-first.

How to use Tracehunt?

Run the MCP server and invoke the hunt_username() and footprint_score() tools through any MCP client, or use the CLI directly. No installation steps or configuration keys are provided in the README.

Key features of Tracehunt

  • Username reconnaissance across 480+ platforms.
  • hunt_username() finds where a handle exists.
  • footprint_score() returns digital-footprint score 0–100.
  • Written in Python, MIT licensed.
  • Runs locally, no API keys required.
  • Privacy-first: data stays on your machine.

Use cases of Tracehunt

  • Investigate a username's presence across hundreds of platforms.
  • Measure your own or others' digital footprint score.
  • Conduct OSINT investigations without external data sharing.
  • Privacy-focused reconnaissance for security researchers.

FAQ from Tracehunt

What platforms are supported?

Tracehunt checks for a username across 480+ platforms.

What tools does Tracehunt provide?

It provides two tools: hunt_username() and footprint_score().

Does Tracehunt require API keys or external services?

No, it runs locally and

评论

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